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Alexander Kmoch

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Associate Professor (Geoinformatics)

University of Tartu

Estonia

Research Interests

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Professors in Ecology

Recent Grants

Grant: Close

Common DGGS for Destine Copernicus Sentinels Data

Open Date: 2025-04-01

Close Date: 2026-10-01

Grant: Open

Framework for Spatial Predictive Modelling of Soil Properties Using Machine Learning

Open Date: 2023-01-01

Close Date: 2027-12-01

Grant: Close

Developing a transnational network of hydrogen refuelling stations for trucks

Open Date: 2023-01-01

Close Date: 2025-12-01

Grant: Close

GLOMODAT

Open Date: 2019-09-01

Close Date: 2021-08-01

Grant: Close

Enhancing data fusion, parallelisation for hydrological modelling and estimating sensitivity to spatial parameterization of SWAT to model nitrogen and phosphorus runoff at local and global scale

Open Date: 2017-01-09

Close Date: 2019-08-31

Articles (19)

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2023

Collaborators (6)

Evelyn Uuemaa

Professor in Geoinformatics

University of Tartu

ESTONIA

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Oleksandr Karasov

Aalto University

FINLAND

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Daniel Loos

Data Scientist

Max Planck Institute for Biogeochemistry

GERMANY

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Tsipe Aavik

Associate Professor of Macroecology

University of Tartu

ESTONIA

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Froukje Rienks

Netherlands Institute of Ecology

NETHERLANDS

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Sara Cousins

Professor

Stockholm University

SWEDEN

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ApplyKite TwinLearns as you apply

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Alexander Kmoch

Research Interests

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Recent Grants

Articles (19)

pydggsapi - a query web service for discrete global grid systems (DGGS) collections

DGGS-Native Data Cubes: A Design Pattern for Scalable, Distortion-Aware Analytics

Preface

Towards National-Scale Ecological Applications: Harmonised Framework for LiDAR Point Cloud Processing for Vegetation Metrics Calculation

Towards universal building blocks for cloud-native digital-twins

Comparing uncertainty quantification methods for Random Forest-based digital soil mapping

Grid4Earth: An Open-Source Python Ecosystem for Geospatial Data Integration Using an Ellipsoidal HEALPix DGGS

A pan‐European citizen science study shows population size, climate and land use are related to biased morph ratios in the heterostylous plant Primula veris

IGEO7: A new hierarchically indexed hexagonal equal-area discrete global grid system

Spatial autocorrelation in machine learning for modelling soil organic carbon

Introducing the OGC API – Discrete Global Grid Systems Standard for Enhanced Geospatial Data Interoperability

Detection of drainage ditches from LiDAR DTM using U-Net and transfer learning

XDGGS: A community-developed Xarray package to support planetary DGGS data cube computations

Streamflow Prediction with Time-Lag-Informed Random Forest and Its Performance Compared to SWAT in Diverse Catchments

Adapting machine learning for environmental spatial data - A review

Detection of small-scale landscape elements with remote sensing

Exploring Estonian Forests and Urban Green Spaces

How does the choice of DEMs affect catchment hydrological modeling?

Modeling hydraulic heads with impulse response functions in different environmental settings of the Baltic countries

Collaborators (6)

Evelyn Uuemaa

Oleksandr Karasov

Daniel Loos

Tsipe Aavik

Froukje Rienks

Sara Cousins

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